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TokPort

io.tokport/tokport · v1.0.0

New (7 days)

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2025-06-18
Rank score	—
Declared risk	Not declared (tools carry no read/destructive hints)
Capabilities declared	tools
Tool definitions	8 tools · with description 100% · input schema is an object 100% · read/destructive hints 0%

Generate images and videos (GPT Image, Seedance, Kling, Wan, Qwen) with one API key.

streamable-http · https://tokport.io/api/mcp

claude mcp add --transport http tokport https://tokport.io/api/mcp

{
  "mcpServers": {
    "tokport": {
      "url": "https://tokport.io/api/mcp"
    }
  }
}

search_models
Search the model catalog. Returns ids, modality, tasks, pricing and links. Use before calling run_model or submit_job to pick a model id.
get_model_schema
Input parameters (name, type, allowed values, defaults) and output shape for every task a model supports.
get_pricing
Live price per image or per video clip for one model or all models.
run_model
Run a model synchronously with the caller's API key. Images return URLs; videos are queued and this waits up to 60 s before returning the queue status instead.
submit_job
Queue a request and return its request_id immediately. Follow with check_job / get_job_result.
check_job
Status of a queued request (IN_QUEUE / IN_PROGRESS / COMPLETED / FAILED / CANCELLED) with position, logs and metrics.
get_job_result
Result of a completed request; waits up to `timeout` seconds (max 60) when still running.
cancel_job
Cancel a request while it is still queued.

Website · JSON · Text for agents · Registry updated 2026-10-22